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035   $a(DE-He213)978-1-4939-0615-4
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100   $a20140512d2014      u|             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aCorrelation-based network analysis of cancer metabolism$b[electronic resource] $eA new systems biology approach in metabolomics /$fby Emily G. Armitage, Helen L. Kotze, Kaye J. Williams
205   $a1st ed. 2014.
210  1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014.
215   $a1 online resource (67 p.)
225 1 $aSpringerBriefs in Systems Biology,$x2193-4746
300   $aDescription based upon print version of record.
311   $a1-4939-0614-3 
320   $aIncludes bibliographical references.
327   $aAn overview of Cancer metabolism -- Cancer hypoxia and the tumour microenvironment as effectors of cancer metabolism -- Metabolic fingerprinting of in vitro cancer cell samples -- Network-based correlation analysis of metabolic fingerprinting data -- Case study: Systems biology of HIF metabolism in cancer -- Case study: Systems biology of chemotherapy resistance in hypoxic cancer -- Index.
330   $aWith the rise of systems biology as an approach in biochemistry research, using high throughput techniques such as mass spectrometry to generate metabolic profiles of cancer metabolism is becoming increasingly popular. There are examples of cancer metabolic profiling studies in the academic literature; however they are often only in journals specific to the metabolomics community. This book will be particularly useful for post-graduate students and post-doctoral researchers using this pioneering technique of network-based correlation analysis. The approach can be adapted to the analysis of any large scale metabolic profiling experiment to answer a range of biological questions in a range of species or for a range of diseases.
410  0$aSpringerBriefs in Systems Biology,$x2193-4746
606   $aSystems biology
606   $aMetabolism
606   $aCancer research
606   $aSystems Biology$3https://scigraph.springernature.com/ontologies/product-market-codes/L15010
606   $aMetabolomics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15030
606   $aCancer Research$3https://scigraph.springernature.com/ontologies/product-market-codes/B11001
615  0$aSystems biology.
615  0$aMetabolism.
615  0$aCancer research.
615 14$aSystems Biology.
615 24$aMetabolomics.
615 24$aCancer Research.
676   $a616.994
700   $aArmitage$b Emily G$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058249
702   $aKotze$b Helen L$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aWilliams$b Kaye J$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910298323003321
996   $aCorrelation-based network analysis of cancer metabolism$92498395
997   $aUNINA